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The AAPG/Datapages Combined Publications Database
Showing 185 Results. Searched 200,357 documents.
Cyclostratigraphy for Low Resistivity Reservoir Assessment: An Example from S Field, Northern Kutai Basin
Prayoga Wahyu Pratama, Ikhsansyah Putra Pratama, Boyke Khadafi, Andy Wijaya, Ahmad Yuda Pratama
Indonesian Petroleum Association
... with actual log is called PEFA (Prediction Error Filter Analysis). All of this error value is integrated from bottom to top PEFA data to gain INPEFA...
2017
Lithology and Fluid Seismic Determination for the Acae Area, Puerto Colon Oil Field, Colombia
F. H. Gómez, J. P. Castagna
Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)
... attribute by exhaustive search (lowest prediction error). • Second, the best pair of attributes (lowest prediction error), assuming that the first...
2004
Anti-aliasing seismic data interpolation by dip-informed self-supervised learning
Shirui Wang, Xuqing Wu, Jiefu Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
... the prediction-error-filter into a deep neural network to enhance the resolution of aliased seismic data. These methods generally adopted a supervised learning...
2023
Spectral Analysis of Wireline Logs — An Innovative Approach to Analyzing Fossil Depositional Systems: Abstract
Nio Swie Djin, Herman Soediono, Antoine A. H. Wonders
Indonesian Petroleum Association
.... The rate of change can be expressed as a number, the prediction error. Points on the wireline log trace with maximum prediction error often represent...
1999
Porosity distribution prediction of untapped Gumai Formation by applying multi-attribute analysis: A case study in South Sumatra Basin
Mohammad Risyad, Muhammad Fahmi Yahya Faizan
Petroleum Exploration Society of Australia (PESA)
... prediction value and error validation value are required as parameters to determine the best seismic attribute group that is used to predict the target...
2019
Abstract: Shear Log Estimation by Rock Physics Assist Machine Learning Approach an Offshore Abu Dhabi Case Study; #91204 (2023)
Hiroyuki Inoue
Search and Discovery.com
... applying bandpass filter. Therefore, the evaluation criteria of this prediction are not only depth by depth prediction error but also a vertical trend...
2023
ABSTRACT: A New Approach to Predict Log Properties from Seismic Data Using Multiple Seismic Attributes and Neural Networks, by James S. Schuelke, Dan Hampson, and John Quirein; #90913(2000).
Search and Discovery.com
2000
Biostratigraphy and sequence stratigraphy of the Oligocene succession, offshore Nile Delta, southeastern Mediterranean, Egypt, and its paleoenvironmental implications
Ahmed Zakaria, Nabil Aboul Ela, and Samy Ahmed Mohamed
AAPG Bulletin
... and stratigraphic interpretations from the log data. This Cyclolog processing of the data resulted in two patterns of curves, which are prediction error filter...
2019
Mapping Distribution of Sandstone and Seismic Multi-Attribute Analysis Using Linear Regression Method in the "RMS" Field, South Sumatra Basin
Clara Armiliany, Ryan Mulyadi Saragih, Aji Arif Sulaksono, Bagus Sapto Mulyatno, Ordas Dewanto
Indonesian Petroleum Association
... single attribute using trial and error. For each attribute contained in the prediction error is calculated. The best attributes are attributes...
2019
Pushing the limit of 5D interpolation using deep learning
Yangkang Chen, Hang Wang, Chao Li, Omar M. Saad
International Meeting for Applied Geoscience and Energy (IMAGE)
...-stationary prediction error filter: Geophysics, 86, no. 5, V419–V429, doi: https://doi.org/10.1190/geo2020-0540.1. Chen, Y., D. Zhang, Z. Jin, X. Chen...
2024
Abstract: A First Attempt to Predict Delta System Dynamic with Artificial Neural Networks, by E. Puhl, O. C. Pedrollo, A. L. O. Borges, and R. D. Maestri; #90090 (2009).
Search and Discovery.com
2009
Deep Learning Models for Methane Emissions Identification and Quantification
Ismot Jahan, Mohamed Mehana, Bulbul Ahmmed, Javier E. Santos, Dan O’Malley, Hari Viswanathan
Unconventional Resources Technology Conference (URTEC)
... wind speeds. Figure 5 and 6 represents the plume images with low and high prediction error from the test dataset. The prediction error is not correlated...
2023
Application of 3
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Alpine Oil Field
Search and Discovery.com
N/A
Geometric mode decomposition method for diffraction separation
Peng Lin, Suping Peng, Yang Xiang, Chuangjian Li, Xiaoqin Cui
International Meeting for Applied Geoscience and Energy (IMAGE)
... exploits the slope differences between reflections and diffractions and estimates the dominant reflection slopes via a prediction-error filter...
2022
Optical Methods for Monitoring Treating Chemicals in Oilfield Water Systems
Dale F. Brost, Frank M. Rexach, Gregory A. Winslow
Indonesian Petroleum Association
... was 54.7%. Results for the corrosion inhibitor were somewhat better, with an average relative error of 22.2%. Table 2. Univariate Prediction Results...
1991
The Comparison between Empirical and Data-driven Computation in Predicting CO and NOx Emissions from Gas-Turbine-Based Power Plant
Tristantyo Yoga Wicaksono, Mordekhai, Nadiyatur Rahmatikal Wasi'ah
Indonesian Petroleum Association
... error prediction that caused by some uncontrollable aspects, such as: ambient temperature, pressure and Predictive Emissions Monitoring System (PEMS...
2021
Santan Delta Evolution and Its Implication to The Petroleum System in North of Kutei Basin
Hendry Setiawan Lie, Reynaldy Fifariz, Ninda Agri Kharisa, Sigit Ari Prabowo, Befriko Saparindra Murdianto, Dwiharso Nugroho
Indonesian Petroleum Association
... pattern, stratigraphy system tract, changing of stacking pattern, biostratigraphy, core analysis, Integrated Prediction Error Filter Analysis (INPEFA...
2022
Pore Pressure Configuration in Balikpapan Bay Area
Hendry Setiawan Lie, Oddy Adnan Mudatsir, Novrianto Pamilwa Citajaya, Sigit Arisetiadi Umri, Benyamin Sapiie
Indonesian Petroleum Association
...t, Integrated Prediction Error Filter Analysis (INPEFA) and seismic. Sequence Boundary (SB) and Maximum Flooding Surface (MFS) are used as key marker...
2022
Abstract: The Approximate use of 1D Internal Multiple Prediction in a Multidimensional World: Errors and Recommendations; #90224 (2015)
Pan Pan and Kris Innanen
Search and Discovery.com
... the relative travel time error between predicted and actual multiples is plotted in Figure 4. We can see that as the offset becomes larger, prediction error...
2015
ABSTRACT: A Robust Method for Q Estimation, by Taner, M. Turhan, Sven Treitel; #90026 (2004)
Search and Discovery.com
2004
Abstract: Critical Review, Calibration, and Ranking of Popular Velocity-Based Pressure Prediction Models, by Mario A. Gutierrez, Neil Braunsdorf, and Brent Couzens; #90039 (2005)
Search and Discovery.com
2005
Abstract: Wavepath Tomography for Complex Velocity Areas, by Dimitri Bevc, Moritz Fliedner, Morgan Brown, and Biondo Biondi; #90077 (2008)
Search and Discovery.com
2008
Abstract: Evaluation of Radial Basis Function Neural Networks in Reservoir Characterization of Caddo Member in Boonsville Field, Texas, by Tao Zhao and Kumar Ramachandran; #90176 (2013)
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2013
Spatial Sampling Bias in Decision Tree Machine Learning Method for Unconventional Resources
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N/A